The University of Queensland

Quantitative susceptibility mapping through model-based deep image prior (MoDIP)

Xiong, Zhuang, Gao, Yang, Liu, Yin, Fazlollahi, Amir, Nestor, Peter, Liu, Feng and Sun, Hongfu (2024). Quantitative susceptibility mapping through model-based deep image prior (MoDIP). NeuroImage, 291 120583, 120583. doi: 10.1016/j.neuroimage.2024.120583

Prospective MRI and Neurocognitive Assessment of “Chemobrain” in Acute Myeloid Leukaemia: The Mineral Study

Scott, Ashleigh, Lo, Ada, Thompson, Kate, Xia, Ying, Bodimeade, Harriet, Fazlollahi, Amir, Curley, Cameron, Lane, Steven W., Morris, Kirk Lachlan, McNamara, Caroline Jane, Pillai, Elango S., Weber, Nicholas, Salvado, Olivier, McMahon, Katie L and Kennedy, Glen A (2023). Prospective MRI and Neurocognitive Assessment of “Chemobrain” in Acute Myeloid Leukaemia: The Mineral Study. Blood, 142 (Supplement 1), 5850-5850. doi: 10.1182/blood-2023-190301

Increased resolution of structural MRI at 3T improves estimation of regional cortical degeneration in individual dementia patients using surface thickness maps

Fazlollahi, Amir, Lee, Soohyun, Coleman, Felicia, McCann, Emily, Cloos, Martijn A., Bourgeat, Pierrick and Nestor, Peter J. (2023). Increased resolution of structural MRI at 3T improves estimation of regional cortical degeneration in individual dementia patients using surface thickness maps. Journal of Alzheimer's Disease, 95 (3), 1-10. doi: 10.3233/jad-230030

Reduced cortical cholinergic innervation correlates with cognitive decline in mild cognitive impairment

Xia, Ying, Eeles, Eamonn, Fripp, Jurgen, Pinsker, Donna, Thomas, Paul, Latter, Melissa, Dore, Vincent, Fazlollahi, Amir, Bourgeat, Pierrick, Villemagne, Victor L, Coulson, Elizabeth J and Rose, Stephen (2023). Reduced cortical cholinergic innervation correlates with cognitive decline in mild cognitive impairment. Alzheimer's & Dementia, 19 (S3). doi: 10.1002/alz.063527

The association between sleep restlessness and neuroimaging biomarkers of Alzheimer’s Disease in mid‐life to older adults and patients

Kholghi, Mahnoosh, Fazlollahi, Amir, Lupton, Michelle K, Bourgeat, Pierrick, Zhang, Qing, Martin, Nicholas G, Breakspear, Michael, Fripp, Jurgen and PISA (Prospective Imaging Study of Aging: Genes, Brain and Behaviour) (2023). The association between sleep restlessness and neuroimaging biomarkers of Alzheimer’s Disease in mid‐life to older adults and patients. Alzheimer's & Dementia, 19 (S2). doi: 10.1002/alz.062017

Computer-aided measurement system using image processing for measuring Cobb angle in scoliosis

Moftian, Nazila, Soltani, Taha Samad, Salahzadeh, Zahra, Pourfeizi, Hojjat Hossein, Gheibi, Yousef, Fazlollahi, Amir and Rezaei-Hachesu, Peyman (2022). Computer-aided measurement system using image processing for measuring Cobb angle in scoliosis. Middle East Journal of Rehabilitation and Health Studies, 9 (1) e111360, 1-8. doi: 10.5812/mejrh.111360

Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter J., Vegh, Viktor, Nasrallah, Fatima, Winter, Craig, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2022). Instant tissue field and magnetic susceptibility mapping from MRI raw phase using Laplacian enhanced deep neural networks. NeuroImage, 259 119410, 1-13. doi: 10.1016/j.neuroimage.2022.119410

Hippocampal glutathione depletion with enhanced iron level in patients with mild cognitive impairment and Alzheimer's disease compared with healthy elderly participants

Mandal, Pravat K., Goel, Anshika, Bush, Ashley, Punjabi, Khushboo, Joon, Shallu, Mishra, Ritwick, Tripathi, Manjari, Garg, Arun, Kumar, Natasha K., Sharma, Pooja, Shukla, Deepika, Ayton, Scott Jonathan, Fazlollahi, Amir, Maroon, Joseph C., Dwivedi, Divya, Samkaria, Avantika, Sandal, Kanika, Megha, Kanu and Shandilya, Sandhya (2022). Hippocampal glutathione depletion with enhanced iron level in patients with mild cognitive impairment and Alzheimer's disease compared with healthy elderly participants. Brain Communications, 4 (5) fcac215, 1-11. doi: 10.1093/braincomms/fcac215

Reduced cortical cholinergic innervation measured using [18F]-FEOBV PET imaging correlates with cognitive decline in mild cognitive impairment

Xia, Ying, Eeles, Eamonn, Fripp, Jurgen, Pinsker, Donna, Thomas, Paul, Latter, Melissa, Doré, Vincent, Fazlollahi, Amir, Bourgeat, Pierrick, Villemagne, Victor L., Coulson, Elizabeth J. and Rose, Stephen (2022). Reduced cortical cholinergic innervation measured using [18F]-FEOBV PET imaging correlates with cognitive decline in mild cognitive impairment. NeuroImage: Clinical, 34 102992, 102992. doi: 10.1016/j.nicl.2022.102992

Early effects of amyloid-β on structural and vascular brain changes in mid-life cognitively unimpaired individuals

Fazlollahi, Amir, Xia, Ying, Lupton, Michelle K., Raniga, Parnesh, Bourgeat, Pierrick, Martin, Nick, Dore, Vincent, Rose, Stephen, Salvado, Olivier, Breakspear, Michael and Fripp, Jurgen (2022). Early effects of amyloid-β on structural and vascular brain changes in mid-life cognitively unimpaired individuals. Alzheimer's and dementia : the journal of the Alzheimer's Association, 17, 1-3. doi: 10.1002/alz.052681

A snapshot of brain and cognition in healthy mid-life and older adults

Borne, Léonie, Lupton, Michelle K., Guo, Christine, Mosley, Philip, Adam, Robert, Ceslis, Amelia, Bourgeat, Pierrick, Fazlollahi, Amir , Maruff, Paul, Rowe, Christopher C., Masters, Colin L., Fripp, Jurgen , Robinson, Gail A. and Breakspear, Michael (2022). A snapshot of brain and cognition in healthy mid-life and older adults. bioRxiv. doi: 10.1101/2022.01.20.476706

Generative model of brain microbleeds for MRI detection of vascular marker of neurodegenerative diseases

Momeni, Saba, Fazlollahi, Amir, Lebrat, Leo, Yates, Paul, Rowe, Christopher, Gao, Yongsheng, Liew, Alan Wee-Chung and Salvado, Olivier (2021). Generative model of brain microbleeds for MRI detection of vascular marker of neurodegenerative diseases. Frontiers in Neuroscience, 15 778767, 778767. doi: 10.3389/fnins.2021.778767

Synthetic microbleeds generation for classifier training without ground truth

Momeni, Saba, Fazlollahi, Amir, Yates, Paul, Rowe, Christopher, Gao, Yongsheng, Liew, Alan Wee-Chung and Salvado, Olivier (2021). Synthetic microbleeds generation for classifier training without ground truth. Computer Methods and Programs in Biomedicine, 207 106127, 106127. doi: 10.1016/j.cmpb.2021.106127

Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer's disease

Fowler, Christopher, Rainey-Smith, Stephanie R., Bird, Sabine, Bomke, Julia, Bourgeat, Pierrick, Brown, Belinda M., Burnham, Samantha C., Bush, Ashley I., Chadunow, Carolyn, Collins, Steven, Doecke, James, Doré, Vincent, Ellis, Kathryn A., Evered, Lis, Fazlollahi, Amir, Fripp, Jurgen, Gardener, Samantha L., Gibson, Simon, Grenfell, Robert, Harrison, Elise, Head, Richard, Jin, Liang, Kamer, Adrian, Lamb, Fiona, Lautenschlager, Nicola T., Laws, Simon M., Li, Qiao-Xin, Lim, Lucy, Lim, Yen Ying ... Ames, David (2021). Fifteen years of the Australian Imaging, Biomarkers and Lifestyle (AIBL) Study: progress and observations from 2,359 older adults spanning the spectrum from cognitive normality to Alzheimer's disease. Journal of Alzheimer's Disease Reports, 5 (1), 443-468. doi: 10.3233/ADR-210005

A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: genes, brain and behaviour (PISA)

Lupton, Michelle K., Robinson, Gail A., Adam, Robert J, Rose, Stephen, Byrne, Gerard J., Salvado, Olivier, Pachana, Nancy A., Almeida, Osvaldo P., McAloney, Kerrie, Gordon, Scott D., Raniga, Parnesh, Fazlollahi, Amir, Xia, Ying, Ceslis, Amelia, Sonkusare, Saurabh, Zhang, Qing, Kholghi, Mahnoosh, Karunanithi, Mohan, Mosley, Philip E., Lv, Jinglei, Borne, Léonie, Adsett, Jessica, Garden, Natalie, Fripp, Jurgen, Martin, Nicholas G., Guo, Christine C. and Breakspear, Michael (2020). A prospective cohort study of prodromal Alzheimer’s disease: Prospective Imaging Study of Ageing: genes, brain and behaviour (PISA). NeuroImage: Clinical, 29 102527, 102527. doi: 10.1016/j.nicl.2020.102527

Restricted effect of cerebral microbleeds on regional magnetic susceptibility

Fazlollahi, Amir, Raniga, Parnesh, Bourgeat, Pierrick, Yates, Paul, Bush, Ashley I., Salvado, Olivier and Ayton, Scott (2020). Restricted effect of cerebral microbleeds on regional magnetic susceptibility. Journal of Alzheimer's Disease, 76 (2), 571-577. doi: 10.3233/JAD-200076

Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease

Fazlollahi, Amir, Calamante, Fernando, Liang, Xiaoyun, Bourgeat, Pierrick, Raniga, Parnesh, Dore, Vincent, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Connelly, Alan, Villemagne, Victor L. and Salvado, Olivier (2020). Increased cerebral blood flow with increased amyloid burden in the preclinical phase of alzheimer's disease. Journal of Magnetic Resonance Imaging, 51 (2), 505-513. doi: 10.1002/jmri.26810

Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology

Diouf, Ibrahima, Fazlollahi, Amir, Bush, Ashley I. and Ayton, Scott (2019). Cerebrospinal fluid ferritin levels predict brain hypometabolism in people with underlying β-amyloid pathology. Neurobiology of Disease, 124, 335-339. doi: 10.1016/j.nbd.2018.12.010

SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network

Bollmann, Steffen, Kristensen, Matilde Holm, Larsen, Morten Skaarup, Olsen, Mathias Vassard, Pedersen, Mads Jozwiak, Østergaard, Lasse Riis, O’Brien, Kieran, Langkammer, Christian, Fazlollahi, Amir and Barth, Markus (2019). SHARQnet – Sophisticated harmonic artifact reduction in quantitative susceptibility mapping using a deep convolutional neural network. Zeitschrift für Medizinische Physik, 29 (2), 139-149. doi: 10.1016/j.zemedi.2019.01.001

Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction

McCombe, Pamela A., Ngo, Shyuan T., Guo, Christine Cong, Fazlollahi, Amir, Bollmann, Saskia, Wang, Liting, Hu, Xintao, Barth, Markus, Salvado, Olivier, Davis, Mark, Ceslis, Amelia, Robinson, Gail, Henderson, Robert D. and Steyn, Frederik J. (2018). Patient with ALS with a novel TBK1 mutation, widespread brain involvement, behaviour changes and metabolic dysfunction. Journal of Neurology, Neurosurgery and Psychiatry, 90 (8), 952-954. doi: 10.1136/jnnp-2018-318823

Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline

Ayton, Scott, Fazlollahi, Amir, Bourgeat, Pierrick, Raniga, Parnesh, Ng, Amanda, Lim, Yen Ying, Diouf, Ibrahima, Farquharson, Shawna, Fripp, Jurgen, Ames, David, Doecke, James, Desmond, Patricia, Ordidge, Roger, Masters, Colin L., Rowe, Christopher C., Maruff, Paul, Villemagne, Victor L., Salvado, Olivier and Bush, Ashley I. (2017). Cerebral quantitative susceptibility mapping predicts amyloid-β-related cognitive decline. Brain, 140 (8), 2112-2119. doi: 10.1093/brain/awx137

MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection

Ghose, Soumya, Mitra, Jhimli, Rivest-Hénault, David, Fazlollahi, Amir, Stanwell, Peter, Pichler, Peter, Sun, Jidi, Fripp, Jurgen, Greer, Peter B. and Dowling, Jason A. (2016). MRI-alone radiation therapy planning for prostate cancer: Automatic fiducial marker detection. Medical Physics, 43 (5), 2218-2228. doi: 10.1118/1.4944871

Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging

Fazlollahi, Amir, Meriaudeau, Fabrice, Giancardo, Luca, Villemagne, Victor L., Rowe, Christopher C., Yates, Paul, Salvado, Olivier and Bourgeat, Pierrick (2015). Computer-aided detection of cerebral microbleeds in susceptibility-weighted imaging. Computerized Medical Imaging and Graphics, 46, 269-276. doi: 10.1016/j.compmedimag.2015.10.001

Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods

Fazlollahi, Amir, Bourgeat, Pierrick, Liang, Xiaoyun, Meriaudeau, Fabrice, Connelly, Alan, Salvado, Olivier and Calamante, Fernando (2015). Reproducibility of multiphase pseudo-continuous arterial spin labeling and the effect of post-processing analysis methods. NeuroImage, 117, 191-201. doi: 10.1016/j.neuroimage.2015.05.048

Using CFD to derive reduced order models for heat transfer in particle curtains

Afshar, Sepideh, Sheehan, Madoc and Fazlollahi, Amir (2015). Using CFD to derive reduced order models for heat transfer in particle curtains. Progress in Computational Fluid Dynamics, 15 (2), 71-80. doi: 10.1504/PCFD.2015.068815

Amorphous regions-of-interest projection method for simplified longitudinal comparison of dynamic regions in cancer imaging

Gal, Yaniv, Dowson, Nicholas, Bourgeat, Pierrick, Salvado, Olivier, Thomas, Paul, Fay, Michael, Rose, Stephen, Jeffery, Rosalind L., Fazlollahi, Amir and Crozier, Stuart (2014). Amorphous regions-of-interest projection method for simplified longitudinal comparison of dynamic regions in cancer imaging. IEEE Transactions on Biomedical Engineering, 61 (2) 6601687, 264-272. doi: 10.1109/TBME.2013.2282402

QSM from the raw phase using an end-to-end neural network

Gao, Yang, Xiong, Zhuang, Fazlollahi, Amir, Nestor, Peter, Vegh, Viktor, Pike, G. Bruce, Crozier, Stuart, Liu, Feng and Sun, Hongfu (2023). QSM from the raw phase using an end-to-end neural network. ISMRM Annual Meeting, London, United Kingdom, 7-12 May 2022. Berkeley, CA, United States: International Society for Magnetic Resonance in Medicine. doi: 10.58530/2022/4740

The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study : Genetics/genetic factors of Alzheimer's disease

Lupton, Michelle K., Fazlollahi, Amir, Ceslis, Amelia, Fripp, Jurgen, Rose, Stephen, Salvado, Olivier, Robinson, Gail, Guo, Christine, Breakspear, Michael and Martin, Nick (2020). The use of genetic risk prediction to study prodromal Alzheimer’s disease in the PISA study : Genetics/genetic factors of Alzheimer's disease. Alzheimer's Association International Conference 2020, Online, 27-30 July 2020. Hoboken, NJ United States: John Wiley & Sons. doi: 10.1002/alz.045023

Identification of functional connectivity features in depression subtypes using a data-driven approach

Li, Xingjuan, Burnham, Samantha, Fripp, Jurgen, Li, Yu, Li, Xue, Fazlollahi, Amir and Bourgeat, Pierrick (2019). Identification of functional connectivity features in depression subtypes using a data-driven approach. International Workshop on Graph Learning in Medical Imaging (GLMI 2019), Shenzhen, China, 17-19 October 2019. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-35817-4_12

A framework to objectively identify reference regions for normalizing quantitative imaging

Fazlollahi, Amir, Ayton, Scott, Bourgeat, Pierrick, Diouf, Ibrahima, Raniga, Parnesh, Fripp, Jurgen, Doecke, James, Ames, David, Masters, Colin L., Rowe, Christopher C., Villemagne, Victor L., Bush, Ashley I. and Salvado, Olivier (2018). A framework to objectively identify reference regions for normalizing quantitative imaging. Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, Granada, Spain, 16-20 September 2018. Cham, Switzerland: Springer. doi: 10.1007/978-3-030-00928-1_8

A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping

Fazlollahi, Amir, Ayton, Scott, Bourgeat, Pierrick, Raniga, Parnesh, Ng, Amanda, Fripp, Jurgen, Ames, David, Masters, Colin L., Rowe, Christopher C., Villemagne, Victor L., Bush, Ashley I. and Salvado, Olivier (2017). A normalisation framework for quantitative brain imaging; application to quantitative susceptibility mapping. 2017 IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, VIC Australia, 18-21 April 2017. Washington, DC USA: IEEE Computer Society. doi: 10.1109/ISBI.2017.7950477

Non-wearable UWB sensor to detect falls in smart home environment

Mokhtari, G., Zhang, Q. and Fazlollahi, A. (2017). Non-wearable UWB sensor to detect falls in smart home environment. 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kona, HI USA, 13-17 March 2017. Piscataway, NJ USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/PERCOMW.2017.7917571

Depression assessment by fusing high and low level features from audio, video, and text

Pampouchidou, Anastasia, Simantiraki, Olympia, Fazlollahi, Amir, Pediaditis, Matthew, Manousos, Dimitrios, Roniotis, Alexandros, Giannakakis, Georgios, Meriaudeau, Fabrice, Simos, Panagiotis, Marias, Kostas, Yang, Fan and Tsiknakis, Manolis (2016). Depression assessment by fusing high and low level features from audio, video, and text. AVEC '16: Proceedings of the 6th International Workshop on Audio/Visual Emotion Challenge, Amsterdam, Netherlands, 16 October 2016. New York, NY USA: Association for Computing Machinery. doi: 10.1145/2988257.2988266

Uninformative frame detection in colonoscopy through motion, edge and color features

Armin, Mohammad Ali, Chetty, Girija, Jurgen, Fripp, De Visser, Hans, Dumas, Cedric, Fazlollahi, Amir, Grimpen, Florian and Salvado, Olivier (2016). Uninformative frame detection in colonoscopy through motion, edge and color features. Second International Workshop, CARE 2015, Munich, Germany, 5 October 2015. Cham, Switzerland: Springer International Publishing. doi: 10.1007/978-3-319-29965-5_15

Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the radon transform

Fazlollahi, Amir, Meriaudeau, Fabrice, Villemagne, Victor L., Rowe, Christopher C., Yates, Paul, Salvado, Olivier and Bourgeat, Pierrick (2014). Efficient machine learning framework for computer-aided detection of cerebral microbleeds using the radon transform. Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/isbi.2014.6867822

Automatic detection of small spherical lesions using multiscale approach in 3D medical images

Fazlollahi, Amir, Meriaudeau, Fabrice, Villemagne, Victor L., Rowe, Christopher C., Desmond, Patricia M., Yates, Paul A., Salvado, Olivier and Bourgeat, Pierrick (2013). Automatic detection of small spherical lesions using multiscale approach in 3D medical images. IEEE Computer Society. doi: 10.1109/ICIP.2013.6738239

Line segment based structure and motion from two views

Mosaddegh, Saleh, Fazlollahi, Amir, Fofi, David and Vasseur, Pascal (2011). Line segment based structure and motion from two views. doi: 10.1117/12.872346

Automatic brain tumour segmentation in 18F-FDOPA PET using PET/MRI fusion

Fazlollahi, Amir, Dowson, Nicholas, Mariaudeau, Fabrice, Rose, Stephan, Fay, Michael, Thomas, Paul, Taylor, Zeike, Gal, Yaniv, Coultard, Alan, Winter, Craig, MacFarlane, David, Slavado, Olivier, Crozier, Stuard and Bourgeat, Pierrick (2011). Automatic brain tumour segmentation in 18F-FDOPA PET using PET/MRI fusion. DICTA 2011: International Conference on Digital Image Computing: Techniques and Applications, Noosa Head, QLD, Australia, 6 - 8 December 2011. Piscataway, NJ, United States: The Institute of Electrical and Electronics Engineers. doi: 10.1109/DICTA.2011.61